Error starting the context, marking it as stopped org.apache.kafka.common.KafkaException: Failed to

Posted 2022-07-29 jbli

ERROR [main] [org.apache.spark.streaming.StreamingContext] - Error starting the context, marking it as stopped
org.apache.kafka.common.KafkaException: Failed to construct kafka consumer
    at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:702)
    at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:557)
    at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:540)
    at org.apache.spark.streaming.kafka010.Subscribe.onStart(ConsumerStrategy.scala:84)
    at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:72)
    at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.start(DirectKafkaInputDStream.scala:242)
    at org.apache.spark.streaming.DStreamGraph$$anonfun$start$7.apply(DStreamGraph.scala:54)
    at org.apache.spark.streaming.DStreamGraph$$anonfun$start$7.apply(DStreamGraph.scala:54)
    at scala.collection.parallel.mutable.ParArray$ParArrayIterator.foreach_quick(ParArray.scala:143)
    at scala.collection.parallel.mutable.ParArray$ParArrayIterator.foreach(ParArray.scala:136)
    at scala.collection.parallel.ParIterableLike$Foreach.leaf(ParIterableLike.scala:972)
    at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply$mcV$sp(Tasks.scala:49)
    at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
    at scala.collection.parallel.Task$$anonfun$tryLeaf$1.apply(Tasks.scala:48)
    at scala.collection.parallel.Task$class.tryLeaf(Tasks.scala:51)
    at scala.collection.parallel.ParIterableLike$Foreach.tryLeaf(ParIterableLike.scala:969)
    at scala.collection.parallel.AdaptiveWorkStealingTasks$WrappedTask$class.compute(Tasks.scala:152)
    at scala.collection.parallel.AdaptiveWorkStealingForkJoinTasks$WrappedTask.compute(Tasks.scala:443)
    at scala.concurrent.forkjoin.RecursiveAction.exec(RecursiveAction.java:160)
    at scala.concurrent.forkjoin.ForkJoinTask.doExec(ForkJoinTask.java:260)
    at scala.concurrent.forkjoin.ForkJoinPool$WorkQueue.runTask(ForkJoinPool.java:1339)
    at scala.concurrent.forkjoin.ForkJoinPool.runWorker(ForkJoinPool.java:1979)
    at scala.concurrent.forkjoin.ForkJoinWorkerThread.run(ForkJoinWorkerThread.java:107)
    at ... run in separate thread using org.apache.spark.util.ThreadUtils ... ()
    at org.apache.spark.streaming.StreamingContext.liftedTree1$1(StreamingContext.scala:578)
    at org.apache.spark.streaming.StreamingContext.start(StreamingContext.scala:572)
    at com.bw.streaming.day03.Spa1$.main(Spa1.scala:95)
    at com.bw.streaming.day03.Spa1.main(Spa1.scala)
Caused by: org.apache.kafka.common.KafkaException: org.codehaus.jackson.map.deser.std.StringDeserializer is not an instance of org.apache.kafka.common.serialization.Deserializer
    at org.apache.kafka.common.config.AbstractConfig.getConfiguredInstance(AbstractConfig.java:203)
    at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:663)
    at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:557)
    at org.apache.kafka.clients.consumer.KafkaConsumer.<init>(KafkaConsumer.java:540)
    at org.apache.spark.streaming.kafka010.Subscribe.onStart(ConsumerStrategy.scala:84)
    at org.apache.spark.streaming.kafka010.DirectKafkaInputDStream.consumer(DirectKafkaInputDStream.scala:72)

 

我做的是 Streaming拉取kafka的直连方式  案例

 

错误原因是我包引入错误

你们好好检查一下